WHITE PAPER:
In large networks, the sheer number of permission settings makes it almost impossible to gain a clear overview of overall security, and checking that all those permission are in compliance with corporate and regulatory standards is a Herculean task.
WHITE PAPER:
Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces. Its becoming the fastest way for people to explore and understand Business Intelligence data of any size. This paper will introduce you to the seven essential elements of true visual analytics applications.
WHITE PAPER:
This white paper focuses on the use of a log-based, real-time change data capture (CDC) solution to enable real-time reporting using a low overhead solution that minimizes the impact on IT infrastructure.
WHITE PAPER:
Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
WHITE PAPER:
Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, and optimizing your storage while lowering operating costs.
WHITE PAPER:
Find out how Embarcadero's DB Optimizer™ can help you to quickly discover and fix problematic SQL statements that can cause performance bottlenecks in your database. DB Optimizer™ gives you the flexibility of using a single easy-to-use IDE to test, profile and tune SQL.
WHITE PAPER:
With over 60% of CEOs saying they need to do a better job of capturing and understanding information to make more effective and timely business decisions, it's clear that there's a gap between capability and need. It's similarly fair to say that this shortfall is a leading reason why businesses aren’t as competitive as they’d like to be.
WHITE PAPER:
In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
WHITE PAPER:
This paper, intended for both IT and operational management, explores a series of high-level best practices for analytics and data warehousing based on Sybase’s experience with successful implementations. Suggestions are provided in three categories: performance, cost control, and ease-of-deployment with each dimension broken down into sub-topics.
